Combination of clinical and multiresolution features for glaucoma detection and its classification using fundus images

• Autorzy: Kausu T. R. , Gopi V. P. , Wahid K. A. , Doma W. , Niwas S. I.

Identyfikatory

DOI

10.1016/j.bbe.2018.02.003

• Języki publikacji: EN

Abstrakty

EN

Glaucoma is a neuro-degenerative disorder of the eye and it leads to permanent blindness when untreated or detected in the later stage. The main cause of glaucoma is the damage of the optic nerve, which occurs due to the increase of eye pressure. Hence the early detection of this disease is critical in time and which can help to prevent further vision loss. The assessment of optic nerve head using fundus images is more beneficial than the raised intra ocular pressure assessment in population-based glaucoma screening. This work proposed a novel method for glaucoma identification based on time-invariant feature cup to disk ratio and anisotropic dual-tree complex wavelet transform features. Optic disk segmentation is done by using Fuzzy C-Means clustering method and Otsu's thresholding is used for optic cup segmentation. The results show the proposed method achieved an accuracy rate of 97.67% with 98% sensitivity using a multilayer perceptron model that is considered as clinically significant when compared to the existing works.

Słowa kluczowe

EN

glaucoma; fundus image; wavelet transform; feature extraction

PL

jaskra; obraz dna oka; transformata falkowa; ekstrakcja cech

• Wydawca: Nałęcz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences ; Elsevier
• Czasopismo: Biocybernetics and Biomedical Engineering
• Rocznik: 2018
• Tom: Vol. 38, no. 2
• Strony: 329--341
• Opis fizyczny: Bibliogr. 26 poz., rys., tab.

Twórcy

autor

Kausu T. R.

• Department of Electronics and Communication Engineering, Government Engineering College, Wayanad, India

autor

Gopi V. P.

• Department of Electronics and Communication Engineering, Government Engineering College, Wayanad, India

autor

Wahid K. A.

• Department of Electrical and Computer Engineering, University of Saskatchewan, Saskatoon, Canada

autor

Doma W.

• Venu Eye Institute and Research Centre, New Delhi, India

autor

Niwas S. I.

• School of Computer Science and Engineering, Nanyang Technological University (NTU), 639798 Singapore, Singapore

Bibliografia

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Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).